Plot method for simulation 'sim' objects
Density and scatter plots
## S3 method for class 'sim'
plot(
x,
estimate,
se = NULL,
true = NULL,
names = NULL,
auto.layout = TRUE,
byrow = FALSE,
type = "p",
ask = grDevices::dev.interactive(),
col = c("gray60", "orange", "darkblue", "seagreen", "darkred"),
pch = 16,
cex = 0.5,
lty = 1,
lwd = 0.3,
legend,
legendpos = "topleft",
cex.legend = 0.8,
plot.type = c("multiple", "single"),
polygon = TRUE,
density = 0,
angle = -45,
cex.axis = 0.8,
alpha = 0.2,
main,
cex.main = 1,
equal = FALSE,
delta = 1.15,
ylim = NULL,
xlim = NULL,
ylab = "",
xlab = "",
rug = FALSE,
rug.alpha = 0.5,
line.col = scatter.col,
line.lwd = 1,
line.lty = 1,
line.alpha = 1,
scatter.ylab = "Estimate",
scatter.ylim = NULL,
scatter.xlim = NULL,
scatter.alpha = 0.5,
scatter.col = col,
border = col,
true.lty = 2,
true.col = "gray70",
true.lwd = 1.2,
density.plot = TRUE,
scatter.plot = FALSE,
running.mean = scatter.plot,
...
)x |
sim object |
estimate |
columns with estimates |
se |
columns with standard error estimates |
true |
(optional) vector of true parameter values |
names |
(optional) names of estimates |
auto.layout |
Auto layout (default TRUE) |
byrow |
Add new plots to layout by row |
type |
plot type |
ask |
if TRUE user is asked for input, before a new figure is drawn |
col |
colour (for each estimate) |
pch |
plot symbol |
cex |
point size |
lty |
line type |
lwd |
line width |
legend |
legend |
legendpos |
legend position |
cex.legend |
size of legend text |
plot.type |
'single' or 'multiple' (default) |
polygon |
if TRUE fill the density estimates with colour |
density |
if non-zero add shading lines to polygon |
angle |
shading lines angle of polygon |
cex.axis |
Font size on axis |
alpha |
Semi-transparent level (1: non-transparent, 0: full) |
main |
Main title |
cex.main |
Size of title font |
equal |
Same x-axis and y-axis for all plots |
delta |
Controls the amount of space around axis limits |
ylim |
y-axis limits |
xlim |
x-axis limits |
ylab |
y axis label |
xlab |
x axis label |
rug |
if TRUE add rug representation of data to x-axis |
rug.alpha |
rug semi-transparency level |
line.col |
line colour (running mean, only for scatter plots) |
line.lwd |
line width (running mean, only for scatter plots) |
line.lty |
line type (running mean, only for scatter plots) |
line.alpha |
line transparency |
scatter.ylab |
y label for density plots |
scatter.ylim |
y-axis limits for density plots |
scatter.xlim |
x-axis limits for density plots |
scatter.alpha |
semi-transparency of scatter plot |
scatter.col |
scatter plot colour |
border |
border colour of density estimates |
true.lty |
true parameter estimate line type |
true.col |
true parameter colour |
true.lwd |
true parameter line width |
density.plot |
if TRUE add density plot |
scatter.plot |
if TRUE add scatter plot |
running.mean |
if TRUE add running average estimate to scatter plot |
... |
additional arguments to lower level functions |
n <- 1000
val <- cbind(est1=rnorm(n,sd=1),est2=rnorm(n,sd=0.2),est3=rnorm(n,1,sd=0.5),
sd1=runif(n,0.8,1.2),sd2=runif(n,0.1,0.3),sd3=runif(n,0.25,0.75))
plot.sim(val,estimate=c(1,2),true=c(0,0),se=c(4,5),equal=TRUE,scatter.plot=TRUE)
plot.sim(val,estimate=c(1,3),true=c(0,1),se=c(4,6),xlim=c(-3,3),
scatter.ylim=c(-3,3),scatter.plot=TRUE)
plot.sim(val,estimate=c(1,2),true=c(0,0),se=c(4,5),equal=TRUE,
plot.type="single",scatter.plot=TRUE)
plot.sim(val,estimate=c(1),se=c(4,5,6),plot.type="single",scatter.plot=TRUE)
plot.sim(val,estimate=c(1,2,3),equal=TRUE,scatter.plot=TRUE)
plot.sim(val,estimate=c(1,2,3),equal=TRUE,byrow=TRUE,scatter.plot=TRUE)
plot.sim(val,estimate=c(1,2,3),plot.type="single",scatter.plot=TRUE)
plot.sim(val,estimate=1,se=c(3,4,5),plot.type="single",scatter.plot=TRUE)
density.sim(val,estimate=c(1,2,3),density=c(0,10,10),angle=c(0,45,-45))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.